AKINLOLU Azeez Olawale

akinlolu.azeez@fuo.edu.ng

08050313501

AKINLOLU Azeez Olawale

Lecturer

Biography

Azeez Akinlolu is an academic with a decade-long professional background in IT before transitioning to academia. He is currently a Lecturer in the Department of Mathematical and Computer Sciences at Fountain University, Osogbo, Nigeria. He obtained his MSc in Computer Science from the University of Ilorin and holds a Bachelor’s degree from Olabisi Onabanjo University. His research spans deep learning, intelligent systems, and network security. He has contributed to innovative projects, and has supervised numerous undergraduate projects in areas such as crime prediction using machine learning and automated control systems. Akinlolu is a registered member of the Nigeria Computer Society (NCS) and holds a CompTIA A+ certification. In addition to his teaching and research roles. His publications in both local and international journals, as well as his presentations at conferences, reflect his commitment to advancing knowledge in computer science. Outside of work, Azeez is passionate about learning, sports, and community service.

Academic Qualification

M.Sc. in Computer Science, University of Ilorin, Ilorin, Nigeria
B.Sc. in Computer Science, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria

Area of Specialization

Core computing with emphases on deep learning, intelligent systems, and network security among others.

Research Interest

Deep Learning
Decision Support Systems
Network Security

Selected Publications:

Akinlolu, A. O., Jimoh, E. R., Alabere, I. A., & Ekundayo, O. (2024). A Comparative Analysis of Deep Learning Techniques for Insider Threat Detection. FUW Trends in Science & Technology Journal, 9 (2), 238 – 246.
Jimoh, E. R., Oladele, T. O., Oladele, O. T., Akinlolu, A. O., Akanbi, M. B., & Olabanke, O. W. (2024, April). CNN-LSTM Model for Mitigation of DDoS Attacks in Software-Defined Networks. In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) (pp. 1-8). IEEE.
Akinlolu, A. O., Odejobi, O. A., Ajayi, F. O., & Jimoh, E. R. (2023, April). Mobile-Based Deep Learning for Yam Disease Diagnosis. In 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) (Vol. 1, pp. 1-6). IEEE.
Jimoh, E. R., Akinlolu, A. O., Akanbi, M. B., & Olojede, O. A. (2023). An Android-Based Yorùbá Numeral Translation System. FUOYE Journal of Pure and Applied Sciences (FJPAS), 8(3), 38-46.
Azeez, R. A., & Akinlolu, A. O. (2019). Development of an Intelligent Pipeline Vandalism Detection and Reporting System. Fountain Journal of Natural and Applied Sciences, 8(2), 21-27.

AKINLOLU Azeez Olawale